1) Human-Machi​​​ne Interfaces and Sustainable Education

    The role of human-machine interfaces in enhancing environmental and sustainability education.
    Virtual reality and augmented reality applications to engage students in sustainability practices.
    Incorporating data analytics and machine learning into sustainability curricula.
    Case studies on successful human-machine integration in educational programs.
    Digital tools for monitoring and improving environmental impact in educational settings.

2) Technological Innovat​​​ions for Sustainability

    Innovations in green computing and energy-efficient technology for educational use.
    Integration of renewable energy technologies and AI into STEM education.
    Smart technologies for sustainable urban planning and smart city education.
    The impact of AI and robotics on conservation efforts and sustainable practices.
    Emerging technologies such as blockchain for ensuring transparency in environmental impacts and precision agriculture.

​3) Smart Campuses and T​​echnological Transformation

    Developing green, intelligent campuses through advanced technologies.
    Technologies for efficient waste management and recycling initiatives in educational settings.
    Implementation of IoT solutions for enhanced energy and resource management.
    Showcasing sustainability initiatives in virtual and physical educational environments.
    Cloud computing applications to minimize the carbon footprint of IT resources in education.

​​4) Policy, Ethics, and Human-Centric Tec​hnology in Education

    Ethical considerations in the deployment of intelligent systems for educational purposes.
    Policy development to support the integration of human-machine dynamics in education.
    Promoting digital responsibility and literacy within the framework of sustainable education.
    Exploring the social implications of technology-driven education systems.
    Preparing students for future careers with a foundation in ethical technology use and sustainability.

​​​5) AI and Machine Learning for Health and Environmental ​Well-being

    AI applications for health monitoring and promoting wellness in educational settings.
    Machine learning-driven approaches for behavioral change and environmental awareness.
    AI support systems for mental health and well-being in academic environments.
    Nutritional and health optimization through AI technologies.
    Enhancing accessibility and resource efficiency in healthcare through intelligent solutions.​

Note: Topics within the tracks are not limited to those listed above.​